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Nonparametric Analysis of Complex Nonlinear Systems

Author

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  • Sonali Das
  • Jeffrey S. Racine

Abstract

In this paper we propose a nonparametric methodology designed to facilitate the statistical analysis of complex systems. The proposed approach exploits an ensemble of nonparametric techniques including conditional density function estimation, conditional distribution function estimation, conditional mean estimation (regression) and conditional quantile estimation (quantile regression). By exploiting recent developments in nonparametric methodology and also in open source interactive platforms for data visualization and statistical analysis, we are able to provide an approach that facilitates enhanced understanding of complex empirical phenomenon. We illustrate this approach by exploring the inherent complexity of the Southern Ocean system as a carbon sink, measured in terms of fugacity of carbon dioxide at sea surface temperature (f CO2), in relation to a number of oceanic state variables, all measured in situ during the annual South African National Antarctic Expedition (SANAE) austral summer trips from Cape Town to the Antarctic, and back, between 2010 and 2015.

Suggested Citation

  • Sonali Das & Jeffrey S. Racine, 2016. "Nonparametric Analysis of Complex Nonlinear Systems," Department of Economics Working Papers 2016-07, McMaster University.
  • Handle: RePEc:mcm:deptwp:2016-07
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    File URL: http://socserv.mcmaster.ca/econ/rsrch/papers/archive/McMasterEconWP2016-07.pdf
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    References listed on IDEAS

    as
    1. Hayfield, Tristen & Racine, Jeffrey S., 2008. "Nonparametric Econometrics: The np Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i05).
    2. Qi Li & Juan Lin & Jeffrey S. Racine, 2013. "Optimal Bandwidth Selection for Nonparametric Conditional Distribution and Quantile Functions," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(1), pages 57-65, January.
    3. Peter Hall & Jeff Racine & Qi Li, 2004. "Cross-Validation and the Estimation of Conditional Probability Densities," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 1015-1026, December.
    4. Li, Qi & Racine, Jeffrey S, 2008. "Nonparametric Estimation of Conditional CDF and Quantile Functions With Mixed Categorical and Continuous Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 423-434.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Kernel Smoothing; Conditional Density; Distribution; Mean and Quantile Estimation; Exploratory Data Analysis;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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